Package: mlsurvlrnrs 0.0.8

mlsurvlrnrs: R6-Based ML Survival Learners for 'mlexperiments'

Enhances 'mlexperiments' <https://CRAN.R-project.org/package=mlexperiments> with additional machine learning ('ML') learners for survival analysis. The package provides R6-based survival learners for the following algorithms: 'glmnet' <https://CRAN.R-project.org/package=glmnet>, 'ranger' <https://CRAN.R-project.org/package=ranger>, 'xgboost' <https://CRAN.R-project.org/package=xgboost>, and 'rpart' <https://CRAN.R-project.org/package=rpart>. These can be used directly with the 'mlexperiments' R package.

Authors:Lorenz A. Kapsner [cre, aut, cph]

mlsurvlrnrs_0.0.8.tar.gz
mlsurvlrnrs_0.0.8.zip(r-4.7)mlsurvlrnrs_0.0.8.zip(r-4.6)mlsurvlrnrs_0.0.8.zip(r-4.5)
mlsurvlrnrs_0.0.8.tgz(r-4.6-any)mlsurvlrnrs_0.0.8.tgz(r-4.5-any)
mlsurvlrnrs_0.0.8.tar.gz(r-4.7-any)mlsurvlrnrs_0.0.8.tar.gz(r-4.6-any)
mlsurvlrnrs_0.0.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
mlsurvlrnrs/json (API)

# Install 'mlsurvlrnrs' in R:
install.packages('mlsurvlrnrs', repos = c('https://kapsner.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kapsner/mlsurvlrnrs/issues

On CRAN:

Conda:

algorithmscox-regressionexperimentsglmnetlearnersmachine-learningrandom-survival-forestssurvivalsurvival-support-vector-machinexgboostquarto

5.56 score 3 stars 12 scripts 188 downloads 7 exports 68 dependencies

Last updated from:3da26c3d4b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK170
source / vignettesOK233
linux-release-x86_64OK158
macos-release-arm64OK140
macos-oldrel-arm64OK154
windows-develOK149
windows-releaseOK132
windows-oldrelOK167
wasm-releaseOK132

Exports:c_indexLearnerSurvCoxPHCoxLearnerSurvGlmnetCoxLearnerSurvRangerCoxLearnerSurvRpartCoxLearnerSurvXgboostAftLearnerSurvXgboostCox

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercodetoolscolorspacecpp11crayondata.tabledigestdoParallelevaluatefarverfastmapfontawesomeforeachforeignFormulafsggplot2gluegridExtragtablehighrHmischmshtmlTablehtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekdryknitrlabelinglifecyclemagrittrmemoisemimemlexperimentsmllrnrsnnetpkgconfigprettyunitsprogressR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapiS7sassscalessplitToolsstringistringrtinytexvctrsviridisLitewithrxfunyaml

glmnet: Survival Analysis

Rendered frommlsurvlrnrs_glmnet_survival.qmdusingquarto::htmlon May 18 2026.

Last update: 2026-01-16
Started: 2024-05-29

ranger: Survival Analysis

Rendered frommlsurvlrnrs_ranger_survival.qmdusingquarto::htmlon May 18 2026.

Last update: 2026-01-15
Started: 2024-05-29

rpart: Survival Analysis

Rendered frommlsurvlrnrs_rpart_survival.qmdusingquarto::htmlon May 18 2026.

Last update: 2026-01-16
Started: 2024-05-29

xgboost: Survival Analysis, AFT Analysis

Rendered frommlsurvlrnrs_xgboost_survival_aft.qmdusingquarto::htmlon May 18 2026.

Last update: 2026-01-16
Started: 2024-05-29

xgboost: Survival Analysis, Cox Regression

Rendered frommlsurvlrnrs_xgboost_survival_cox.qmdusingquarto::htmlon May 18 2026.

Last update: 2026-01-16
Started: 2024-05-29